• Skip to main content
  • Skip to secondary menu
  • Skip to primary sidebar
  • Skip to secondary sidebar
  • Skip to footer

  • Opinion
  • Health IT
    • Behavioral Health
    • Care Coordination
    • EMR/EHR
    • Interoperability
    • Patient Engagement
    • Population Health Management
    • Revenue Cycle Management
    • Social Determinants of Health
  • Digital Health
    • AI
    • Blockchain
    • Precision Medicine
    • Telehealth
    • Wearables
  • Life Sciences
  • Investments
  • M&A
  • Value-based Care
    • Accountable Care (ACOs)
    • Medicare Advantage

FDA Clears Eko’s Heart Disease Detection AI for Adults and Pediatrics

by Fred Pennic 07/12/2022 Leave a Comment

  • LinkedIn
  • Twitter
  • Facebook
  • Email
  • Print

What You Should Know:

– Today, Eko, a digital health company advancing heart and lung disease detection, has announced the FDA has issued clearance for its Eko Murmur Analysis Software (EMAS), the first and only machine learning algorithm to screen for valvular heart disease (VHD).

– The next generation of Eko’s murmur detection capabilities grants Eko the first and only smart stethoscope on the market that can identify and differentiate, between innocent and structural, heart murmurs indicative of valvular heart disease. 

Most Valvular Heart Disease Goes Undiagnosed

VHD, a life-threatening condition, is diagnosed in more than 5 million Americans each year. However, most VHD goes undiagnosed. By combining murmur analysis AI with its digital stethoscopes, Eko has transformed the traditional stethoscope into an objective, low-cost, and scalable screening tool that can identify significant structural heart disease in seconds on the front lines of care. With the ability to detect VHD early on and with greater accuracy, Eko’s technology has the potential to save millions of lives. 

The EMAS algorithm greatly improves the performance of healthcare professionals to accurately and consistently identify valvular heart disease, with an overall sensitivity of 85.6% and specificity of 84.4%. Further analysis showed that among adults 18 years and older, the EMAS algorithm identified structural murmurs with a sensitivity of 90.2% and specificity of 90.6%.  When using traditional stethoscopes to detect significant valvular heart disease, general practitioners (GPs) were found to have a sensitivity of 44% and specificity of 69%.

“This latest FDA clearance is another way in which Eko is improving access to better heart health through clinically-validated algorithms and best-in-class medical devices,” said Connor Landgraf, Co-founder & CEO of Eko. “By making heart disease screening algorithms and digital stethoscopes accessible in exam rooms around the country, we are moving towards a future in which more objective and consistent valvular heart disease screening can become the standard of care.”

  • LinkedIn
  • Twitter
  • Facebook
  • Email
  • Print

Tagged With: AI, algorithms, Artificial Intelligence, digital health, Eko Devices, FDA, FDA Clearance, Heart, heart disease, lung, Machine Learning, Medical Devices

Tap Native

Get in-depth healthcare technology analysis and commentary delivered straight to your email weekly

Reader Interactions

Primary Sidebar

Subscribe to HIT Consultant

Latest insightful articles delivered straight to your inbox weekly.

Submit a Tip or Pitch

Featured Insights

Aligning IT & Clinical Teams: How to Reduce Friction and Improve Communication

Most-Read

KLAS 2026 EHR Market Share Report: Epic Gains as Oracle Health Faces Third Year of Losses

KLAS 2026 EHR Market Share Report: Epic Gains as Oracle Health Faces Third Year of Losses

Qualtrics Acquires Press Ganey Forsta for $6.75B to Create the Most Comprehensive AI Experience Platform

M&A: Qualtrics Completes $6.75B Acquisition of Press Ganey Forsta

Viz.ai Launches Viz Pulmonary™ Suite: AI-Powered Workflows for COPD, Lung Nodules, and PE

Viz.ai Launches Viz Pulmonary™ Suite: AI-Powered Workflows for COPD, Lung Nodules, and PE

PathAI Partners to Deploy First AI-Powered Biospecimen Solutions

Roche Acquires PathAI to Automate Cancer Diagnostics in $1B Deal

Vocal Biomarkers: Helping Clinicians Detect What Patients Hesitate to Share

Vocal Biomarkers: Helping Clinicians Detect What Patients Hesitate to Share

Aidoc Secures $150M to Accelerate Enterprise-Scale Clinical AI Across 2,000 Hospitals

OpenAI Launches ChatGPT for Clinicians: Free AI Documentation and Research Tool for Verified Physicians

OpenAI Launches ChatGPT for Clinicians: Free AI Documentation and Research Tool for Verified Physicians

IKS Health Acquires TruBridge for Rural EHR and RCM Solutions Expansion

IKS Health Acquires TruBridge for Rural EHR and RCM Solutions Expansion

UT Austin is Building the Nation's First 'AI-Native' Hospital, Backed by $750M

Why UT Austin is Building an ‘AI-Native’ Hospital from Scratch

The Medtech Pitch Deck Casino: Why Hype Still Wins, and How Scrutiny Could Improve Everyone’s Odds

The Casino Model: Why Medtech VCs Are Betting Billions on Unproven AI

Secondary Sidebar

Footer

Company

  • About Us
  • 2026 Editorial Calendar
  • Advertise with Us
  • Reprints and Permissions
  • Op-Ed Submission Guidelines
  • Contact
  • Subscribe

Editorial Coverage

  • Opinion
  • Health IT
    • Care Coordination
    • EMR/EHR
    • Interoperability
    • Population Health Management
    • Revenue Cycle Management
  • Digital Health
    • Artificial Intelligence
    • Blockchain Tech
    • Precision Medicine
    • Telehealth
    • Wearables
  • Startups
  • Value-Based Care
    • Accountable Care
    • Medicare Advantage

Connect

Subscribe to HIT Consultant Media

Latest insightful articles delivered straight to your inbox weekly

Copyright © 2026. HIT Consultant Media. All Rights Reserved. Privacy Policy |